Job description

About Definitive Healthcare : At Definitive Healthcare (NASDAQ: DH), we’re passionate about turning data, analytics, and expertise into meaningful intelligence that helps our customers achieve success and shape the future of healthcare. We empower them to uncover the right markets, opportunities, and people—paving the way for smarter decisions and greater impact. Headquartered just outside of Boston, Massachusetts, Definitive Healthcare operates across North America, Europe, and India, supporting a growing global client base of more than 2,400 customers since our founding in 2011. We’re also a great place to work. In 2024 and 2025, we earned multiple workplace honors, including Built In’s 100 Best Places to Work in Boston (both years), a Stevie Bronze Award for Great Employers, and recognition as a Great Place to Work in India. We foster a collaborative, inclusive culture where diverse perspectives drive innovation. Through programs like DefinitiveCares and our employee-led affinity groups we strive to promote connection, education, and inclusion. About the Role We are seeking a hands-on Principal MLOps Engineer & Functional Lead to architect, build, and scale our next-generation Machine Learning and Generative AI infrastructure. In this role, you will design a unified, automated, and secure AI ecosystem capable of training and deploying both traditional predictive models and advanced Generative/Agentic AI systems at enterprise scale. As the Functional Lead, you will drive engineering excellence, establish MLOps best practices across the organization, mentor senior engineers, and translate strategic business objectives into robust, highly scalable automated pipelines. What You’ll Do Design, implement, and maintain scalable, robust ML pipelines and data pipelines for CI/CD, and ML model deployments. Architect and govern the enterprise feature store and vector store infrastructure to support low-latency feature retrieval for both traditional ML and Retrieval Augmented Generation (RAG) applications. Build and manage enterprise-grade workflow orchestration layers to schedule, monitor, and manage complex, multi-stage model training and data processing dependencies. Be a subject matter expert for Generative AI infrastructure, building scalable frameworks to support advanced LLM applications, RAG pipelines, and multi-agent Agentic AI workflows. Establish highly efficient environments for model training and parameter-efficient fine-tuning of open-source and proprietary models. Optimize high-throughput, low-latency model inference pipelines, utilizing advanced caching and compute distribution techniques to handle large-scale concurrent requests. Establish and enforce lifecycle management policies utilizing an enterprise model registry to manage version control, lineage, and tracking from experimentation to production. Architect high-performing, cost-efficient infrastructure utilizing autoscaling groups on AWS to dynamically handle varying training and inference workloads. Implement comprehensive, real-time endpoint monitoring systems to track model performance, data drift, latency, and system health metrics. Serve as the functional lead for ML engineering, defining coding standards, architectural blueprints, framework selections, and operational SLAs. Provide technical guidance, code reviews, and mentorship to senior machine learning and data engineers, fostering an agile culture of innovation, automation, and continuous improvement. What You'll Bring Bachelor's or Master’s degree in Computer Science, Computer Engineering, Data Science, or a closely related quantitative engineering discipline. 12+ years of professional experience in data engineering, ML engineering with a minimum of 5 years dedicated to building, scaling, and managing MLOps platforms in production. Deep, hands-on production experience architecting with in Databricks and native Aws environments. Expert proficiency in Python, with strong production experience deploying models built in TensorFlow and PyTorch. Compensation and Benefits The salary range for this position is $158,000 – $294,000 per year, which represents the base pay the company reasonably and in good faith expects to pay for this role. Actual pay within this range will be determined based on factors such as relevant experience, skills, and qualifications. Depending on the position, employees may also be eligible to participate in a company bonus or commission plan. All employees are eligible for a comprehensive benefits package, including medical, dental, and vision coverage, unlimited paid time off, and participation in the company’s 401(k) plan with employer contribution. Why we love Definitive, and why you will too! Industry leading products Work hard, and have fun doing it Incredibly fast growth means limitless opportunity Flexible and dynamic culture Work alongside some of the most talented and dedicated teammates Definitive Cares, our community service group, gives all of us a chance to give back Competitive benefits package including great healthcare benefits and a 401(k) match What our Employees are saying about us on Glassdoor: “Great Work atmosphere, great work life balance, excellent company to work for, amazing top notch product, incredible customer service, lots of tools to help you succeed.” -Business Development Manager “Great team. Amazing growth. Employees are treated very well.” -Research Analyst “I have waited 36 years to work at a dream job for a dream company and I am so happy to have finally got there.” -Profile Analyst If you don’t fit all of these qualifications, but believe you’re still a great fit, feel free to apply and tell us why in your cover letter. If you are a California, Colorado, New York City or Washington resident and this role is a remote role, you can receive additional information about the compensation and benefits for this role, which we will provide upon request. Definitive Hiring Philosophy Definitive Healthcare is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, religion, age, gender, gender identity, sexual orientation or any other status. If you’re interested in working in a fast growing, exciting working environment – we encourage you to apply! Privacy Your privacy is important to us. Please review our Candidate Privacy Notice which tells you how we use and process your personal information. Please note: All communications regarding the hiring process at Definitive Healthcare will come directly from one of our corporate recruiters or coordinators using an @definitivehc.com email address. We do not advertise open roles on Facebook and will never request money transfers or ask candidates to purchase equipment with a promise of reimbursement. If you receive any suspicious communication, please contact careers@definitivehc.com to verify your status in the application process.

Requirements

Must-haves

Bachelor's or Master’s degree in Computer Science, Computer Engineering, Data Science, or a closely related quantitative engineering discipline.
12+ years of professional experience in data engineering, ML engineering with a minimum of 5 years dedicated to building, scaling, and managing MLOps platforms in production.
Deep, hands-on production experience architecting with in Databricks and native Aws environments.
Expert proficiency in Python, with strong production experience deploying models built in TensorFlow and PyTorch.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

machine learningaimlci/cdllmawsagilepython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off